Results 171 to 180 of about 1,547,225 (303)

Uncertainty- and hardness-weighted loss functions for medical image segmentation. [PDF]

open access: yesEng Appl Artif Intell
Zheng Y   +7 more
europepmc   +1 more source

Loss functions for spatial wildfire applications

open access: yes
Spatial predictions of wildfire spread are used operationally and in risk estimation. It is important that their outputs are validated to quantify predictive performance and uncertainty.
Parkins, K   +6 more
core   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Transformation kernel density estimation of actuarial loss functions

open access: yes
A transformation kernel density estimator that is suitable for heavy-tailed distributions is discussed. Using a truncated Beta transformation, the choice of the bandwidth parameter becomes straightforward.
Montserrat Guillen (Universitat de Barcelona)   +2 more
core  

Comparison of our proposed loss with other common loss functions.

open access: yes
Comparison of our proposed loss with other common loss functions.
Yingjie Zhu (240610)   +1 more
core   +1 more source

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